Evidence map›Paper›PMID 42564769›Full record

ArticleMethodsX2026

Time to diagnosis and treatment and breast cancer outcomes in young women: a systematic review protocol.

Wura Jacobs, Thea Atwood, Raquel Gonzalez, Alice W Lee

Abstract read
In one paragraph

Article in MethodsX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Wura JacobsDepartment of Applied Health Science, Indiana University, School of Public Health, 1025 E. Seventh Street, Suite 116, Bloomington, IN, 47405, USA.
Thea AtwoodIndiana University Libraries, Indiana University, Sciences Library, 800 E. Kirkwood Ave, Chemistry 002G, Bloomington, IN, 47405, USA.
Raquel GonzalezDepartment of Public Health, California State University, Fullerton, 800 N. State College Blvd., KHS-127, Fullerton, CA, 92831, USA.
Alice W LeeDepartment of Public Health, California State University, Fullerton, 800 N. State College Blvd., KHS-127, Fullerton, CA, 92831, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Women under age 50 (young women) experience unique challenges when it comes to timely breast cancer diagnosis and treatment. Delays in diagnosis and treatment may contribute to disparities in survival outcomes, yet definitions and measurements of such delays often vary across studies. This protocol outlines the procedures for a systematic synthesis of evidence on the association between time to diagnosis and treatment and outcomes in women diagnosed with breast cancer under age 50. Primary observational research studies published in English will be identified from various databases, including PubMed, EMBASE, PsycINFO, Scopus, CINAHL, and Google Scholar. Two reviewers will independently screen the eligible studies and extract the data. Risk of bias and study quality will be assessed using the Newcastle-Ottawa Scale and the Aarhus checklist, and results will be synthesized qualitatively. The findings from this review will clarify the magnitude and consistency of the impact of diagnostic and treatment intervals on breast cancer outcomes in young women to inform future research and clinical care. • Identify studies examining the association between time to diagnosis and treatment and outcomes in young women with breast cancer. • Evaluate the impact of diagnostic and treatment intervals on breast cancer outcomes in young women.

Indexed as

Breast cancerDelay intervalsTime to diagnosisTime to treatmentYoung women

Identifiers

PMID42564769
PMCPMC13445076

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.